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function varargout = run(varargin)
% RUN MATLAB code for run.fig
% RUN, by itself, creates a new RUN or raises the existing
% singleton*.
%
% H = RUN returns the handle to a new RUN or the handle to
% the existing singleton*.
%
% RUN(‘CALLBACK’,hObject,eventData,handles,…) calls the local
% function named CALLBACK in RUN.M with the given input arguments.
%
% RUN(‘Property’,‘Value’,…) creates a new RUN or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before run_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to run_OpeningFcn via varargin.
%
% *See GUI Options on GUIDE’s Tools menu. Choose “GUI allows only one
% instance to run (singleton)”.
%
% See also: GUIDE, GUIDATA, GUIHANDLES
% Edit the above text to modify the response to help run
% Last Modified by GUIDE v2.5 07-May-2016 15:41:22
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct(‘gui_Name’, mfilename, …
‘gui_Singleton’, gui_Singleton, …
‘gui_OpeningFcn’, @run_OpeningFcn, …
‘gui_OutputFcn’, @run_OutputFcn, …
‘gui_LayoutFcn’, [] , …
‘gui_Callback’, []);
if nargin && ischar(varargin{1})
gui_State.gui_Callback = str2func(varargin{1});
end
if nargout
[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT
% — Executes just before run is made visible.
function run_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% varargin command line arguments to run (see VARARGIN)
% Choose default command line output for run
handles.output = hObject;
handles.cd0 = cd;
handles.Color = 0;
handles.I = [];
axes(handles.axes1);
set(gca,‘Xtick’,[]);
set(gca,‘Ytick’,[]);
box on;
axes(handles.axes2);
set(gca,‘Xtick’,[]);
set(gca,‘Ytick’,[]);
box on;
axes(handles.axes3);
set(gca,‘Xtick’,[]);
set(gca,‘Ytick’,[]);
box on;
axes(handles.axes4);
set(gca,‘Xtick’,[]);
set(gca,‘Ytick’,[]);
box on;
axes(handles.axes5);
set(gca,‘Xtick’,[]);
set(gca,‘Ytick’,[]);
box on;
axes(handles.axes6);
set(gca,‘Xtick’,[]);
set(gca,‘Ytick’,[]);
box on;
axes(handles.axes8);
set(gca,‘Xtick’,[]);
set(gca,‘Ytick’,[]);
box on;
axes(handles.axes9);
set(gca,‘Xtick’,[]);
set(gca,‘Ytick’,[]);
box on;
axes(handles.axes12);
set(gca,‘Xtick’,[]);
set(gca,‘Ytick’,[]);
box on;
axes(handles.axes13);
set(gca,‘Xtick’,[]);
set(gca,‘Ytick’,[]);
box on;
axes(handles.axes14);
set(gca,‘Xtick’,[]);
set(gca,‘Ytick’,[]);
box on;
axes(handles.axes15);
set(gca,‘Xtick’,[]);
set(gca,‘Ytick’,[]);
box on;
axes(handles.axes16);
set(gca,‘Xtick’,[]);
set(gca,‘Ytick’,[]);
box on;
axes(handles.axes17);
set(gca,‘Xtick’,[]);
set(gca,‘Ytick’,[]);
box on;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes run wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% — Outputs from this function are returned to the command line.
function varargout = run_OutputFcn(hObject, eventdata, handles)
% varargout cell array for returning output args (see VARARGOUT);
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Get default command line output from handles structure
varargout{1} = handles.output;
% — Executes on button press in pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%% 读图
[filename, cd1] = uigetfile( …
{‘.tif;.TIF;.JPG;.jpg;.bmp;.BMP;.jpeg;.JPEG;’,‘Image file’;…
‘.’, ‘All file (.)’},‘Pick an Image’);
axes(handles.axes1);
cla;
axes(handles.axes2);
cla;
axes(handles.axes3);
cla;
axes(handles.axes4);
cla;
if filename
end
handles.Color = 0;
cd(handles.cd0);
set(handles.text2,‘string’,‘’);
guidata(hObject, handles);
% — Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
image = handles.I;
gray = rgb2gray(image); % 图像灰度化
axes(handles.axes2);
imshow(gray);
% — Executes on button press in pushbutton3.
function pushbutton3_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton3 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
image = handles.I;
gray = rgb2gray(image);
new_gray = histeq(gray); % 直方图均衡 ，图像增强
axes(handles.axes3);
imshow(new_gray);
% — Executes on button press in pushbutton4.
function pushbutton4_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton4 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
image = handles.I;
gray = rgb2gray(image);
new_gray = histeq(gray); % 直方图均衡 ，图像增强
if size(new_gray,1)>1000
new_gray_1 = imresize(new_gray,0.1);
else
new_gray_1 =new_gray;
end
1 matlab版本
2014a
2 参考文献
[1]李洁,李登刚,曾文亮.基于BP神经网络的车牌识别方法研究[J].电子测试. 2022,(16)
3 备注
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